I'm building a flask application, located in a subdirectory within my project called myapp. Running gunicorn --bind 0.0.0.0:$PORT myapp.app:app works fine, no errors, regardless of what FLASK_APP is set to. When I try to use Flask's CLI, however, it fails to find my app (reasonable), but when I set FLASK_APP to myapp.app., it appears to be doubling up the import path, resulting in an import error:
FLASK_APP=myapp.app flask run
* Serving Flask app 'myapp.app' (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
Usage: flask run [OPTIONS]
Try 'flask run --help' for help.
Error: While importing 'myapp.myapp.app', an ImportError was raised.
How can I solve this? Is this a bug in Flask?
There was a __init__.py in my project directory that was causing this.
I dug into the source code of flask in cli.py and found the following code in prepare_import:
# move up until outside package structure (no __init__.py)
while True:
path, name = os.path.split(path)
module_name.append(name)
if not os.path.exists(os.path.join(path, "__init__.py")):
break
Because I had an __init__.py in my project directory (also called myapp), this made flask try to import myapp.app from the ancestor of my project, resulting in myapp.myapp.app.
Facing issues in running the pytest with coverage, I have gone through the SO posts and not able to fix this, I believe I'm missing something here..
Getting the following errors where users is an app of my project
ModuleNotFoundError: No module named 'users'
django.core.exceptions.ImproperlyConfigured: Requested setting INSTALLED_APPS, but settings are not configured. You must either define the environment variable DJANGO_SETTINGS_MODULE or call settings.configure() before accessing settings.
My pytest.ini file contents
[pytest] DJANGO_SETTINGS_MODULE = cloudstack.settings
python_files = tests.py test_*.py *_test.py
addopts = -v --ignore=venv --cov=. --cov-report=html
I have tried adding DJANGO_SETTINGS_MODULE as environment variable too then I'm getting different error saying that cloudstack module is not found.
I'm in the activated environment while performing these tests.
EDIT
I looked into every post of the stack overflow to fix the errors in running the pytest with coverage none of them helped me in resolving this.
Django upgrading to 1.9 error "AppRegistryNotReady: Apps aren't loaded yet."
PATH issue with pytest 'ImportError: No module named YadaYadaYada'
ImproperlyConfigured: You must either define the environment variable DJANGO_SETTINGS_MODULE or call settings.configure() before accessing settings
And I had everything aligned as per the instructions in the SO posts'
$ type -a coverage coverage is
/cygdrive/c/#Work#/Python/Django/Projects/cloudstacko/cvenv/bin/coverage
$ type -a pytest pytest is
/cygdrive/c/#Work#/Python/Django/Projects/cloudstacko/cvenv/bin/pytest
$ type -a python python is
/cygdrive/c/#Work#/Python/Django/Projects/cloudstacko/cvenv/bin/python
sys.path
['/cygdrive/c/#Work#/Python/Django/Projects/cloudstacko/cloudstacko', '/usr/lib/python36.zip', '/usr/lib/python3.6', '/usr/lib/python3.6/lib-dynload', '/cygdrive/c/#Work#/Python/Django/Projects/cloudstacko/cvenv/lib/python3.6/site-packages']
The library which saved my day.
$ pip install pytest-django
I have implemented mypy in my django rest framework but I am getting errors ModuleNotFoundError: No module named 'config' while running mypy.Is there any wrong with my django_settings_module in my mypy.ini file ?
I used to run my project with the command python manage.py runserver --settings=config.settings.development which was working fine but while configuring this setting in the mypy it is giving me error. What I might be doing wrong ?
Any help would be appreciated.
mypy.ini
[mypy]
plugins =
mypy_django_plugin.main,
mypy_drf_plugin.main
ignore_missing_imports = True
warn_unused_ignores = True
strict_optional = True
check_untyped_defs = True
follow_imports = silent
show_column_numbers = True
[mypy.plugins.django-stubs]
export PYTHONPATH=$PYTHONPATH:D:\DjangoProjects\project\config
django_settings_module = config.settings.development
settings directory
/project
/config
__init__.py
urls.py
wsgi.py
/settings
__init__.py
base.py
development.py
wsgi.py
app_path = os.path.abspath(
os.path.join(os.path.dirname(os.path.abspath(__file__)), os.pardir)
)
sys.path.append(os.path.join(app_path, "project"))
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
application = get_wsgi_application()
If anybody happens to run into this and was as confused as I am, here is what I did to make sure the mypy django plugin works.
I indeed had to add my project root to PYTHONPATYH, such that the plugin will be able to find your project. But let me clarify. In windows, you can search for 'environment variables' and create an environment variable named PYTHONPATH there, or edit the one that is already there with an added path.
I had been banging my head against the walls for a couple hours, because I didn't know how to properly set the PYTHONPATH. When you add this variable, make sure it is the full path, and that the folder you're specifying is the folder that includes manage.py
For me, that was C:\Users\...\myproject (without the trailing slash).
I hope that works and that I can save someone from wasting hours of their life like I did.
Adding my two cents here - in my case I was running a system-wide mypy instead of the one from virtualenv:
Even though I was in the virtualenv
(env) ➜ project git:(develop) ✗ which python
/Users/Kramer/Documents/projects/example/env/bin/python
Mypy was not aliased:
(env) ➜ project git:(develop) ✗ which mypy
/usr/local/bin/mypy
The solution was to either:
run mypy directly
(env) ➜ project git:(develop) ✗ ../env/bin/mypy .
ensure that you have all the dependencies installed in the system-wide python installation
I have been using the method described in this post for setting up IPython Notebook to play nicely with Django. The gist of the method is to create an IPython extension which sets the DJANGO_SETTINGS_MODULE and runs django.setup() when IPython starts.
The code for the extension is:
def load_ipython_extension(ipython):
# The `ipython` argument is the currently active `InteractiveShell`
# instance, which can be used in any way. This allows you to register
# new magics or aliases, for example.
try:
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "settings")
import django
django.setup()
except ImportError:
pass
With a recent upgrade to Jupyter Notebook this setup is now broken for me. I am able to run Django code in the Jupyter notebook by adding a similar bit of code to the first cell of the notebook. However, I was not able to figure out how to get Jupyter to run the extension automatically so I would not have to do this again for each and every notebook I am creating.
What should I do to get Django and Jupyter to play nicely?
UPDATE:
For #DarkLight - I am using Django 1.8.5 with Jupyter 1.0.0. The code I run in the notebook is:
import os, sys
sys.path.insert(0, '/path/to/project')
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "settingsfile")
import django
django.setup()
Install django-extensions from https://github.com/django-extensions/django-extensions/blob/master/docs/index.rst
pip install django-extensions
Change your settings file to include 'django-extensions'
INSTALLED_APPS += ['django_extensions']
Run your Django server like this:
python manage.py shell_plus --notebook
alter to suit, and run this in your first cell
import os, sys
PWD = os.getenv('PWD')
os.chdir(PWD)
sys.path.insert(0, os.getenv('PWD'))
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "local_settings.py")
import django
django.setup()
Now you should be able to import your django models etc. eg:
from app.models import Foobar
Foobar.objects.all()
Just for completeness (but it's 2018, so maybe things changed since this question was posted): you can actually install a Jupyter Python kernel in your Django environment that will then connect (run under) a different Jupyter server/environment (one where you've installed widgets, extensions, changed the theme, etc.). django_extensions right now still does only part of the required work :-)
This assumes you have a Jupyter virtual environment that's separate from Django's one and whose kernels/extensions are installed with --user. All the Jupyter extensions (and their dependencies) are installed in this venv instead of the Django's one/ones (you'll still need pandas, matplotlib, etc. in the Django environment if you need to use them together with Django code).
In your Django virtual environment (that can run a different version of Python, including a version 2 interpreter) install the ipython kernel:
pip install -U ipykernel
ipython kernel install --user --name='environment_name' --display-name='Your Project'
This will create a kernel configuration directory with the specified -–name in your user’s Jupyter kernel directory (on Linux it's ~/.jupyter/ while on OSX it’s ~/Library/Jupyter/) containing its kernel.json file and images/icons (by default the default Jupyter icon for the kernel we’re installing are used). This kernel will run inside the virtual environment what was active at creation, thus using the exact same version of python and all the installed modules used by our Django project.
Running ./manage.py shell_plus --notebook does something very similar, but in addition to requiring everything (including the Jupyter server and all the extensions) installed in the current venv, it’s also unable to run notebooks in directories different from the project’s root (the one containing ./manage.py). In addition it’ll run the kernel using the first executable called python it finds on the path, not the virtual environment’s one, making it misbehave when not started from the command line inside an active Django virtual environment.
To fix these problems so that we're able to create a Notebook running inside any Django project we have so configured and to be able to run notebooks stored anywhere on the filesystem, we need to:
make sure the first ‘argv’ parameter contains the full path to the python interpreter contained in the virtual environment
add (if not already present) an ‘env’ section that will contain shell environment variables, then use these to tell Python where to find our project and which Django settings it should use. We do this by adding something like the following:
"env": {
"DJANGO_SETTINGS_MODULE": "my_project.settings",
"PYTHONPATH": "$PYTHONPATH:/home/projectuser/projectfolder/my_project"
}
optional: change ‘display_name’ to be human friendly and replace the icons.
editing this environment kernel.json file you'll see something similar:
{
"display_name": "My Project",
"language": "python",
"env": {
"DJANGO_SETTINGS_MODULE": "my_project.settings",
"PYTHONPATH": "$PYTHONPATH:/home/projectuser/projectfolder/my_project"
},
"argv": [
"/home/projectuser/.pyenv/versions/2.7.15/envs/my_project_venv/bin/python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}",
"--ext",
"django_extensions.management.notebook_extension"
]
}
Notable lines:
"DJANGO_SETTINGS_MODULE": "my_project.settings": your settings, usually as seen inside your project's manage.py
"PYTHONPATH": "$PYTHONPATH:/home/projectuser/projectfolder/my_project": PYTHONPATH is extended to include your project's main directory (the one containing manage.py) so that settings can be found even if the kernel isn't run in that exact directory (here django_extensions will use a generic python, thus running the wrong virtual environment unless the whole Jupyter server is launched from inside it: adding this to the kernel.json created by django_extensions will enable it to run notebooks anywhere in the Django project directory)
"/home/projectuser/.pyenv/versions/2.7.15/envs/my_project_venv/bin/python": first argument (argv list) of the kernel execution, should be the full path to your project's virtual environment's python interpreter (this is another thing django_extensions gets wrong: fixing this will allow any notebook server to run that specific Django environment's kernel with all its installed modules)
"django_extensions.management.notebook_extension": this is the extension that will load the 'shell_plus' functionality in the notebook (optional but useful :-) )
Here's what just worked for me
install Django Extensions (I used 1.9.6) as per other answers
install jupyterpip install jupyter
some stuff I did to setup jupyter inside my Docker container -- see below if this applies to you †
from your base Django directory, create a directory for notebooks, e.g. mkdir notebooks
Go to that directory cd notebooks
start django extensions shell_plus from inside that directory: ../manage.py shell_plus --notebook
The notebook server should now be running, and may launch a new browser. If it doesn't launch a browser window, follow the instructions to paste a link or a token.
from the browser, open a new "Django Shell Plus" notebook, as per John Mee's answer's screenshot
AND, importantly, what didn't work was changing directories from inside the notebook environment. If I tried to work with any notebook that was not in the directory that manage.py shell_plus --notebook was run in, then the kernal was not configured correctly. For me, having the notebook be configured for just a single directory at a time was good enough. If you need a more robust solution, you should be able set PYTHONPATH prior to starting jupyter. For example add export PYTHONPATH="$PYTHONPATH:/path/to/django/project" to a virtualenv activate script. But I haven't tried this.
† Docker Setup (optional)
add a port mapping for your container for port 8888
For example, in your docker compose file;
ports:
- "8890:8888"
Configure your project settings file to use ip 0.0.0.0
This is what I did:
NOTEBOOK_ARGUMENTS = [
'--ip', '0.0.0.0',
'--allow-root',
'--no-browser',
]
Note: I am using Python 3.7 and Django 2.1, it works for Django 2.2. I don't have to run anything in my first cell, and this works like charm as long as you don't mind having the notebooks in the root of your Django project.
It is assumed that you have a virtual environment for your project, and it is activated. I use pipenv to create virtual environments and track dependencies of my python projects, but it is up to you what tool you use.
It is also assumed that you have created a Django project and your current working directory is the root of this project.
Steps
Install jupyter
Using pip
pip install jupyter
Using pipenv
pipenv install jupyter
Install django-extentions
Using pip
pip install django-extensions
Using pipenv
pipenv install django-extensions
Set up django-extensions by adding it to the INSTALLED_APPS setting of your Django project settings.py file.:
INSTALLED_APPS = (
...
'django_extensions',
)
Run the shell_plus management command that is part of django-extensions. Use the option --notebook to start a notebook:
python manage.py shell_plus --notebook
Jupyter Notebooks will open automatically in your browser.
Start a new Django Shell-Plus notebook
That's it!
Again, you don't have to run anything in the first cell, and you can corroborate by running dir() to see the names in the current local scope.
Edit:
If you want to put your notebooks in a directory called notebooks at the root directory, you can do the following:
$ mkdir notebooks && cd notebooks
$ python ../manage.py shell_plus --notebook
Thanks to Mark Chackerian whose answer provided the idea to make run the notebooks in a directory other than the project's root.
These are the modules that are imported automatically thanks to shell_plus:
# Shell Plus Model Imports
from django.contrib.admin.models import LogEntry
from django.contrib.auth.models import Group, Permission, User
from django.contrib.contenttypes.models import ContentType
from django.contrib.sessions.models import Session
# Shell Plus Django Imports
from django.core.cache import cache
from django.conf import settings
from django.contrib.auth import get_user_model
from django.db import transaction
from django.db.models import Avg, Case, Count, F, Max, Min, Prefetch, Q, Sum, When, Exists, OuterRef, Subquery
from django.utils import timezone
from django.urls import reverse
Actually turns out you (might not) need to do all that crap. Just install django-extensions and run jupyter!
(myprojectvenv)$ cd myproject
(myprojectvenv)$ pip install jupyter
(myprojectvenv)$ pip install django-extensions
(myprojectvenv)$ jupyter notebook
In the browser, start a new "Django Shell-Plus":
And you should be good to go. eg:
from myproject.models import Foobar
Foobar.objects.all()
While the accepted answer from RobM works, it was less clear than it could be and has a few unnecessary steps. Simply put, to run notebooks through Django from a notebook environment outside of the project directory:
Install:
pip install django-extensions
Add 'django-extensions' to your INSTALLED_APPS list in settings.py
INSTALLED_APPS += ['django_extensions']
Run a notebook from within Django, then close it:
python manage.py shell_plus --notebook
This will create your kernel, which we will now edit to point to an absolute path of Python rather than a relative path.
On OSX, the kernel file is at: ~/Library/Jupyter/kernels/django_extensions/kernel.json
On Linux: ~/.jupyter/kernels/django_extensions/kernel.json
We only need to make two changes:
The first is to edit the first value in the "argv" list from "python" to the full address of the python version in your Django virtual environment. E.g.: "/Users/$USERNAME/Documents/PROJECT_FOLDER/venv/bin/python"
Secondly, to the "env" dictionary, add "DJANGO_SETTINGS_MODULE": "mysite.settings", where mysite is the folder that contains your Django settings.
Optionally, change the value of "display_name".
Now when you run a notebook from any directory, choosing the "Django Shell-Plus" kernel will allow your notebooks to interact with Django. Any packages such as pandas will need to be installed in the Django venv.
The following does work for me using win10, Python 3.5, Django 1.10:
Install Python with the Anaconda distribution so Jupyter will be installed as well
Install Django and install django-extensions:
pip install Django
pip install django-extensions
Start a new Django project. You have to do that in that part of your tree of directories which can be accessed by Jupyter later.
django-admin startproject _myDjangoProject_
Start Jypter
navigate Jupyter to the directory myDjangoProject and enter the first/top myDjangoProject-directory
Start within the first/top myDjangoProject-directory a new Jupyter noteboke: new --> Django Shell-Plus
enter and run the following piece of code :
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "myDjangoProject.settings")
import django
django.setup()
Note that this piece of code is the same as in manage.py, and note that "myDjangoProject.settings" points to myDjangoProject/settings.py
Now you can start with examples, e.g.:
from django.template import Template, Context
template = Template('The name of this project is {{ projectName }}')
context = Context({'projectName': 'MyJypyterDjangoSite'})
template.render(context)
Run this command.
PYTHONPATH=/path/to/project/root DJANGO_SETTINGS_MODULE=settings python manage.py shell_plus --notebook
I will add some information to the very complete answer of RobM, for the benefit of the very rare developers that use buildout along with djangorecipe djangorecipe as I do... I refer to jupyter lab as I use that but I think all info can be applied to old jupyter notebooks.
When using buildout you end up with a 'bin/django' handler you'll use instead of 'manage.py'. That's the script that defines the whole path. I added one more part in my buildout.cfg:
[ipython]
recipe = zc.recipe.egg
eggs = ${buildout:eggs}
extra-paths = ${buildout:directory}/apps
initialization = import os
os.environ['DJANGO_SETTINGS_MODULE'] = 'web.settings'
so that another script named ipython will be created in ./bin directory. I point kernelspec to that interpreter. Moreover I use kernel argument rather than "-m", "ipykernel_launcher" so that the kernel definition I use is:
{
"argv": [
"/misc/src/hg/siti/trepalchi/bin/ipython",
"kernel",
"-f",
"{connection_file}",
"--ext",
"django_extensions.management.notebook_extension"
],
"display_name": "Trepalchi",
"language": "python"
}
Due to how the ipython script is created by buildout there's no need to add environmental variables in my case.
As Rob already mentioned, jupiterlab is only installed in one environment where I start it with the command:
jupyter lab
not in the environment of Django project whare I only install ipykernel (that has already a bunch of 20 dependencies).
Since I tend to have quite a lot of projects I find it usefull to have a single point where I start jupyter lab with many links to the projects so that I can reach them easily. Thanks to the extension provided by django_extension I don't need any extra cell to initialize the notebook.
Any single kernel added in this way can be found with the command:
jupyter kernelspec list
And clearly listed in the launcher of jupyter lab
I have a Django project that contains a "config" folder, which has a settings_dev.py file inside of it which is my settings file.
If I try doing anything with manage.py, it complains that it can't find my settings file, even if I explicitly provide it via the --settings option, e.g.
python manage.py syncdb --settings=config.settings_dev
Error: Can't find the file 'settings.py' in the directory containing 'manage.py'. It appears you've customized things.
You'll have to run django-admin.py, passing it your settings module.
However, if I rename my "config" folder to "settings", it works fine. e.g.
python manage.py syncdb --settings=settings.settings_dev
works fine.
What else do I need to specify for it to know that my settings folder is actually named config?
Look into manage.py. It tries to import settings not conf. You have to modify your manage.py file
create a generic settings.py in the project folder that points to the config module. don't forget the __init__.py in the config folder. This might be better than modifying manage.py.
#!/usr/bin/env python
from django.core.management import setup_environ
try:
import config.settings as settings
except ImportError:
import sys
sys.stderr.write("Couldn't find the settings.py module.")
sys.exit(1)
setup_environ(settings)
Have a look at this answer:
This error occurs as well if there is an import error within settings.py.
https://stackoverflow.com/questions/6036599/bizarre-error-importing-settings-in-django#=